4.8 LPAHyderabadAnkit Singh
Data Analyst
- Placed at
- FINELABS
- Program
- Data Analytics Batch
- Batch
- DA/09/0823/S WD 7PM
Data Analytics Course in Mangaluru with Gen AI & Placement Assistance
Mangaluru gave India several of its best-known banks, runs one of the west coast's major ports, refines crude at a large coastal refinery, exports cashew and seafood worldwide and hosts a dense cluster of medical and engineering colleges. Such a mix produces data on loans, cargo, crude, catches and patients every hour — and steady demand for people who can analyse it. Uncodemy's Data Analytics Course trains Mangaluru learners for that demand through 6–7 months of live online sessions in Excel, SQL, Python, Statistics, Power BI, Tableau and Generative AI.
Uncodemy keeps its classrooms in Delhi and Noida; the Delhi branch is in Shakarpur Extension, beside DSEU Ambedkar College and a few minutes on foot from Nirman Vihar and Laxmi Nagar Metro Stations. Mangaluru learners join the same batches remotely, with more than 120 hours of learning, 75-plus trainer-led sessions, real projects and a personal placement mentor included. The fee is ₹17,500, or ₹20,650 after 18% GST.
Why Choose Uncodemy?
14+Years of Training Excellence
850+Companies in Our Hiring Network
54,000+Learners Trained
200+Corporate Associations
Program Details
Data Analytics with Gen AI — Instructor-Led Training & Career Support Program
Mangaluru learners take Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI across six to seven months of live online sessions, using banking, port, refinery, cashew and healthcare case material, with mentor reviews and a closing interview workshop.
- Learning120+ Hours
- Program Duration6–7 Months
- Live Training75+ Live Sessions
- Technology Coverage10+ Tools & Technologies
- Practical LearningHands-on Projects & Case Studies
- Program Fee₹17,500 + 18% GST
- Total Fee₹20,650
- EMIStarting From ₹4,032/Month*
- Career SupportDedicated Career & Placement Assistance
- Hiring Network850+ Companies
Data Analytics Course in Mangaluru — Quick Facts
- Course
- Data Analytics with Gen AI
- Provider
- Uncodemy Edutech Pvt. Ltd.
- Total Learning
- 120+ Hours
- Curriculum
- 9 Modules
- Projects
- 5 Guided + 1 Capstone
- Tools
- Excel, SQL, Python, Statistics, Power BI, Tableau and Gen AI
- Modes
- Live Online (classroom only at Delhi & Noida centres)
- Prior Coding
- Not Required
- Certificate
- Uncodemy Program Certificate
List of Placed Students Trained by Uncodemy
At the end of the course, a Mangaluru learner can take a branch loan file, a port cargo log or a hospital admissions sheet and return a clean, analysed and well-argued conclusion with whichever tool fits best. After career preparation, eligible learners apply for analyst roles; recorded outcomes are listed below.
4.8 LPAHyderabad
4.8 LPAIndiaAshish Butola
Data Analyst
- Placed at
- Allsoft Solutions
- Program
- Data Analytics Batch
- Batch
- DS/12/0823/IR WE 12 PM
4.0 LPADelhiRajat Kashyap
Data Analyst
- Placed at
- Hexalog
- Program
- Data Analytics Batch
- Batch
- DS/DA Weekend July Batch 10 AM
3.25 LPAPuneSagar B. Shembade
Data Analyst
- Placed at
- SmartStudy
- Program
- Data Analytics Batch
- Batch
- DA/WD/S 08:00 PM 08 JAN-UC
3.0 LPANoidaPriyanka Kumari
Data Analyst
- Placed at
- CloudFirst Digital
- Program
- Data Analytics Batch
- Batch
- DS/DA Weekend July Batch 10 AM
3.0 LPADelhiShruti Saxena
Data Analyst
- Placed at
- Jepius Healthcare
- Program
- Data Analytics Batch
- Batch
- DS/DA/09/UP WD 12:30 PM
Location badges show where each learner was placed. Mangaluru learners join these same live online batches and the same career-preparation process; outcomes depend on individual effort and the job market.
What is Data Analytics?
A cashew processor near Mangaluru buys raw nuts from West Africa and coastal Karnataka, grades kernels into dozens of sizes and ships tins to buyers in the Gulf, Europe and the US. Which origins give the best outturn? Which grades fetch the highest price this season? Which buyers pay on time? A bank branch asks similar questions about its borrowers, a fishing-harbour trader about catch prices, a hospital about admissions from the Gulf diaspora. Data analytics answers them all by cleaning records, testing patterns with statistics and presenting the results visually, so leaders act on evidence rather than habit.
What does a data analyst do?
In Mangaluru an analyst might start the week querying core-banking or ERP data with SQL, spend a day repairing inconsistent branch or grade codes, compare branches, vessels, kernel grades or wards in Excel or Python, and publish a Power BI or Tableau dashboard. The most important hour is the last one: explaining the findings to a credit manager, terminal supervisor, export head or hospital administrator and agreeing what changes next month.
Data Analytics vs Data Science vs Business Analytics
A coastal bank illustrates the three neatly. Analytics explains why gold-loan defaults rose last quarter; data science predicts which borrowers are likely to slip next; business analytics recommends credit policy and collection priorities.
| Aspect | Data Analytics | Data Science | Business Analytics |
|---|---|---|---|
| Core question | What happened, and why? | What will happen next? | What should the business do? |
| Coding depth | Low to moderate | High | Low |
| Typical entry salary | ₹3–6 LPA | ₹8–18 LPA | ₹4–7 LPA |
| Time to job-ready | 6–7 months | 9–12 months | 5–6 months |
Salary ranges are approximate first-job figures from the cited sources; Mangaluru offers vary with employer, role, skill, experience and market cycle.
Course Overview
Mangaluru learners spend 6–7 months on the program, completing more than 75 live online sessions and over 120 hours of learning. The course starts with Excel and SQL — the daily tools of every bank branch and export office — advances through Python, statistics, data cleaning and exploratory analysis, and finishes with Power BI, Tableau and Generative AI. Banking, port, export and hospital datasets appear throughout, each phase ends with a guided project, and the capstone anchors the portfolio you'll show recruiters.
Who should join this course:
- Mangaluru and Udupi-belt learners who want live teaching without moving to Bengaluru.
- Graduates of Mangalore University, NITK Surathkal, St Aloysius, the medical and engineering colleges and other institutions, from any stream.
- Bank, insurance and NBFC employees in the city's financial district who already work with reports.
- Staff at the port, refinery contractors, cashew and seafood exporters or hospitals who maintain operational records.
- MIS executives looking to add SQL, Python and BI to Excel.
Eligibility: Any bachelor's degree qualifies (details on the eligibility criteria page). No coding background is required — SQL and Python start from fundamentals. Comfort with numbers helps; the statistics module rebuilds the essentials. A laptop with 8GB RAM and stable broadband is recommended for Mangaluru learners' lab work.
Upcoming Data Analytics Course Batches in Mangaluru
Weekday and weekend live batches are open to Mangaluru learners, scheduled around college terms, bank hours and port or hospital shifts. A free online demo session is available first.
DateTimeTrainerSeats Left
Weekdays
19 Oct
02:00 PM – 03:00 PM
Mr. Upendra02 Seats02 Nov
10:30 AM – 11:30 AM
Ms. Rachna01 Seat09 Nov
12:00 PM – 01:00 PM
Mr. Abhi02 Seats16 Nov
07:30 PM – 08:30 PM
Mr. Rahul01 SeatWeekends
28 Nov
03:00 PM – 05:00 PM
Mr. Irshad02 SeatsSeats are limited and updated daily. All timings are in IST.
Data Analytics Course Syllabus & Curriculum in Mangaluru
Nine modules over 120+ hours follow the logic of a real coastal-business brief — acquiring data, cleaning it, analysing it, interpreting it, visualising it and presenting it. Each module concludes with a graded practical on genuine data, and the final module curates your portfolio.
Module 1: Excel for Data Analytics — 12 Hours
- Advanced formulas: VLOOKUP, XLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, nested IF
- Data cleaning: text functions, Find & Replace, Flash Fill, removing duplicates
- Pivot Tables, PivotCharts, Slicers and Timelines
- Power Query for importing and transforming data
- Data validation, conditional formatting and dashboard design
- Charts: histogram, Pareto, combo, waterfall
Module 2: SQL & Database Management — 18 Hours
- Relational database concepts, ER diagrams, normalisation
- SELECT, WHERE, ORDER BY, GROUP BY, HAVING
- All join types: inner, left, right, full outer, self, cross
- Subqueries and Common Table Expressions
- Window functions: ROW_NUMBER, RANK, LEAD, LAG
- Connecting SQL databases to Python
Module 3: Python for Data Analytics — 20 Hours
- Python fundamentals: variables, data types, loops, functions
- Lists, tuples, dictionaries, sets, file operations
- NumPy: arrays, vectorised operations, broadcasting
- Pandas: Series, DataFrames, indexing, filtering, merging, grouping
- Handling missing values and duplicates
- Matplotlib, Seaborn and Jupyter Notebook
Module 4: Statistics & Business Mathematics — 12 Hours
- Descriptive statistics: mean, median, variance, standard deviation
- Probability fundamentals and data distributions
- Sampling methods and the Central Limit Theorem
- Hypothesis testing: p-values, confidence intervals, t-tests, chi-square, ANOVA
- Correlation and regression basics
- A/B testing in a business context
Module 5: Data Cleaning & Exploratory Data Analysis — 12 Hours
- Data quality assessment and profiling
- Handling missing values: deletion, imputation, flagging
- Outlier detection and treatment
- Feature creation and binning
- Univariate, bivariate and multivariate analysis
- Correlation heatmaps and structuring an EDA report
Module 6: Power BI — 18 Hours
- Connecting to Excel, SQL, CSV and web sources
- Power Query Editor, data modelling and relationships
- DAX: calculated columns, measures, time intelligence
- Visual types, filters, slicers, bookmarks and drill-through
- Publishing to Power BI Service and scheduling refresh
- Row-level security basics
Module 7: Tableau — 10 Hours
- Tableau architecture, data connection and blending
- Dimensions, measures and calculated fields
- Filters, groups, sets and hierarchies
- Parameters and dynamic controls
- Reference lines, trend lines and forecasting
- Dashboards, actions and stories
Module 8: AI & Gen AI for Data Analysts — 8 Hours
- Prompt engineering for data tasks
- Generating and debugging SQL and Python with AI assistance
- Copilot in Excel and Power BI
- AI-assisted insight summaries and report drafting
- Verifying AI output: hallucinations, wrong aggregations, false confidence
- Data privacy and what should never be pasted into a public AI tool
Module 9: Capstone Projects & Career Preparation — 10 Hours
- End-to-end capstone project on a real business dataset
- Building a GitHub portfolio and dashboard showcase
- Analyst resume writing and LinkedIn optimisation
- SQL and case-study interview practice
- Mock interviews with feedback
Module · Topic · Hours · Tools
| Module | Topic | Hours | Tools |
|---|---|---|---|
| 1 | Excel for Data Analytics | 12 | Excel, Power Query |
| 2 | SQL & Database Management | 18 | MySQL |
| 3 | Python for Data Analytics | 20 | Python, Pandas, NumPy |
| 4 | Statistics & Business Mathematics | 12 | Excel, Python |
| 5 | Data Cleaning & EDA | 12 | Python, Pandas |
| 6 | Power BI | 18 | Power BI Desktop |
| 7 | Tableau | 10 | Tableau Public |
| 8 | AI & Gen AI for Analysts | 8 | ChatGPT, Copilot |
| 9 | Capstone & Career Prep | 10 | All tools |
| Total | 120 Hours | 10+ tools |
IK
Curriculum Reviewed by
Irshad Khan — Senior Trainer, 8+ Years Experience. Specialization: Data Science, Data Analytics, Business Analyst, SQL, Power BI, Python, Generative AI, Agentic AI.
Get Your Data Analytics Certification In Mangaluru
Your Uncodemy Data Analytics Program Certificate arrives once every module, assignment and the capstone carry a pass mark. Beside a lookup code, it lists the course title, the months you studied, the tools you used and the date you finished — handy when a Hampankatta bank or a Baikampady exporter asks for proof.
Banks, exporters and hospitals on the coast want to see real work, so the certificate is accompanied by graded spreadsheet, SQL, Python, statistics, BI and Gen AI assignments and a capstone that resolves a complete business problem.
Key Benefits of Our Data Analytics Certification:
- Program Completion: Records that every Mangaluru module was finished.
- Online Verification: Employers can authenticate its reference online.
- Practical Learning: Grounded in graded work and a self-planned capstone.
Coastal employers and recruiters elsewhere can confirm a Mangaluru learner's certificate on Uncodemy's online portal at any time.
Uncodemy Certificate Verification — Online Certificate Verification & Download: certificate.uncodemy.com
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Tools and Technologies Covered
- Excel
- Tableau
- Power BI
- NumPy
- Python
- Pandas
- SQL
- Statistics
- ChatGPT
- Copilot
Introducing Uncodemy
Uncodemy is operated by Uncodemy Edutech Pvt. Ltd. and frames each course around employability. Classroom batches meet in Delhi and Noida, and live online batches deliver identical teaching to Mangaluru and every other region. Learners include beginners, graduates, freshers and working professionals seeking practical skill.
In this program Excel, SQL, Python, statistics, Power BI, Tableau and Gen AI are applied to real datasets through projects, mirroring what analysts at Mangaluru's banks, port operators, exporters and hospitals actually do — monitoring indicators, maintaining dashboards, preparing reports and informing decisions. Every module of the syllabus is published before you join.
Behind the lectures, Mangaluru learners get mentor hours, marked practice, project critiques, interview rehearsal and vacancy alerts. The career support policy — what's included, what isn't, who qualifies — is handed over in writing before any fee changes hands.
Other courses for Mangaluru learners
Coastal learners leaning toward AI, ML, Data Science or Business Analysis instead can take any of those live online with Uncodemy.
Enroll in Our Data Analytics Training in Mangaluru Today!
Start in Mangaluru — join live online sessions, practise on banking, port and export data, build a portfolio and prepare for analyst roles on the coast, in Bengaluru or with remote teams.
Data Analyst Jobs and Career Scope in Mangaluru & Dakshina Kannada
Mangaluru's financial heritage still shapes its job market. Several major banks were founded in Dakshina Kannada, and the city continues to host banking operations, insurance offices, NBFCs and gold-loan companies that need credit, collections, fraud and customer analysts. IT and BPO units around the city's tech parks add reporting and BI roles.
The New Mangalore Port handles crude, coal, containers and agricultural cargo, while the nearby refinery, petrochemical units and the special economic zone generate operations, maintenance and safety data. Cashew processing — Mangaluru is a historic hub — seafood exports, coffee and arecanut trade, and a busy fishing harbour add supply-chain and pricing analytics.
Healthcare is a third pillar: the city's medical colleges and hospitals draw patients from across the coast and the Gulf, creating demand for patient-flow and billing analytics. Many learners also target Bengaluru and remote roles. Throughout, SQL and a BI tool are expected; what wins the job is the ability to frame the business question, choose the right metric and explain the recommendation clearly.
Job Roles After This Course
Mangaluru graduates apply for Data Analyst, Business Analyst, MIS Executive/Analyst, Business Intelligence Analyst, Marketing/Product Analyst and Operations Analyst roles. A bank wants default prediction inputs, the port wants berth-utilisation trends and a cashew exporter wants grade-wise margins — each delivered through SQL, Excel and a BI tool.
| Role | Core Tools |
|---|---|
| Data Analyst | SQL, Excel, Python, Power BI |
| Business Analyst | SQL, Excel, BI tools |
| MIS Executive / Analyst | Excel, SQL, Power BI |
| Business Intelligence Analyst | Power BI, Tableau, SQL, DAX |
| Marketing / Product Analyst | SQL, Python, BI tools |
| Operations Analyst | Excel, SQL, Power BI |
Mangaluru freshers typically start as Data, MIS or Business Analysts — often in banking or healthcare — and move into BI, risk, product, marketing or operations analytics within two to four years, promoted for owning complete analyses and learning their sector.
Data Analyst Salary in Mangaluru — Experience-wise
Analyst pay on the coast depends on experience, sector and real SQL and BI depth, and salaries under a single title vary widely. Dashboard-only profiles start lower; those who also query efficiently, structure problems and argue a clear recommendation start higher and progress faster.
| Career Level / Role | Indicative Salary Range |
|---|---|
| Entry-Level Data Analyst | ₹3–6 LPA |
| Data Analyst (Mid-Level) | ₹6–10 LPA |
| Senior Data Analyst | ₹10–15 LPA |
| Business Intelligence Analyst | ₹7–12 LPA |
Sources reviewed: AmbitionBox, Glassdoor, Indeed and Uncodemy placement records. Reviewed: 12 October 2026.
Banks, the port and refinery ecosystem and IT units in Mangaluru often pay mid-band, smaller exporters and local firms may start lower, and Bengaluru or remote roles can pay more. All ranges are indicative and depend on role, skills, experience, location, employer and market. Uncodemy guarantees no salary or job.
Top Hiring Sectors for Data Analysts in Mangaluru & Dakshina Kannada
Uncodemy recruits through a pool of 850-plus Indian firms. Along the Dakshina Kannada coast, the likeliest analyst openings are in:
Banking, insurance, NBFCs and gold loans — credit, collections, fraud and branch-performance analytics
Port, refinery and petrochemicals — cargo, berth, maintenance and safety reporting
Cashew, seafood, coffee and arecanut trade — grade, origin, price and export analytics
Healthcare and medical colleges — patient flow, billing and capacity dashboards
IT, BPO and Bengaluru or remote roles — reporting and BI work locally and beyond
Banks, port operators, exporters and hospitals each test different strengths, so choose a direction early and tailor your portfolio.
How to Become a Data Analyst — Step by Step
Analyst skill on the coast is built like a traditional fishing boat — keel, ribs and planking in strict order, or it won't float. Skip a stage and the leak appears exactly when it matters: in a technical interview, or in your first quarter on the job.
- 1
Spreadsheet speed — XLOOKUP, pivots and Power Query so branch-wise or grade-wise summaries take minutes.
- 2
Query mastery — SQL joins across loans, repayments and customers or across cargo and vessels, plus grouped totals, subqueries and window functions.
- 3
Python capability — Pandas and NumPy for large banking or port datasets and automated reports.
- 4
Statistical rigour — sampling, hypothesis tests and regression so credit or yield conclusions stand up.
- 5
Dashboards with a coastal audience in mind — build in Power BI (DAX) or Tableau (calculated fields) until a branch manager on Lighthouse Hill Road could use your report without a phone call.
- 6
A coastal portfolio — three to five projects, such as gold-loan default patterns or cashew grade margins, each ending with a recommendation.
- 7
Job-hunt discipline — practise SQL against a stopwatch, rehearse business cases aloud and make each CV line state an outcome, such as 'cut month-end reconciliation from two days to four hours'.
Most Mangaluru learners need six to seven months of steady practice to reach interview standard; daily consistency beats occasional marathons.
How This Course Compares to Other Data Analytics Courses in Mangaluru
Mangaluru learners can choose among many analytics courses, some local and many Bengaluru-based, at very different prices. Here is what this program provides.
| Factor | This Program |
|---|---|
| Duration | 6–7 months |
| Learning hours | 120+ hours |
| Tools covered | 10+ tools |
| Gen AI module | Dedicated 8-hour module |
| Projects | 5 guided + 1 capstone |
| Career support | Resume, LinkedIn, mock interviews, hiring network |
It is longer and broader because coastal and metro employers expect juniors to move between Excel, SQL, Python and BI tools in one task. Recorded self-paced courses cost less; someone needing only an Excel and Power BI refresher might choose one.
Online vs Offline vs Hybrid — Which Should You Choose?
All formats share syllabus, trainers, projects and fee. From Mangaluru, live online study is the practical route — real-time sessions from home, immediate doubt resolution and timings that suit bank hours, port shifts or college.
Classrooms are only in Noida and Delhi (Shakarpur), so hybrid is impractical from the coast. Online learners receive the same teaching, recordings, doubt support and placement services, and a permitted format change preserves progress.
Is this course right for you?
| If you want... | Recommend |
|---|---|
| Only Excel + Power BI basics | A shorter course may be sufficient |
| Full analyst career transition | This program |
| Heavy ML/Data Science | Choose Data Science |
| Business-focused analytics | Consider Business Analytics |
| Self-paced learning | Recorded course |
Instructors for the Data Analytics Course in Mangaluru
Who you will learn from in Mangaluru. Live sessions for Mangaluru are delivered online by the Delhi–Noida faculty. Irshad Khan, Senior Trainer for Data Analytics, leads the batch and approved the syllabus on this page, while Upendra Kumar Tiwari reviews its technical accuracy as a separate domain reviewer.
Learners from Mangaluru & Dakshina Kannada often work with port and petrochemicals, banking and cashew processing records, so mentors encourage projects drawn from those sectors — sales registers, stock sheets, booking logs — giving your portfolio something local employers recognise, alongside NCR and remote teams.
Names, domains and LinkedIn profiles of every trainer are public on the Uncodemy trainers page.
Mr. Syed Najeeb
Data Analytics & AI Trainer
ExpertisePythonMLDLNLPPower BITableauSPSSSASMS-ExcelSQLHTMLCSS
About
7+ years turning aviation and enterprise data into forecasting models, dashboards and AI assistants.
Live projects
AI agent chat/voice bot, AI-driven data analysis, a sales-forecasting ML model, NPS data model evaluation, and a face-recognition model for biometrics.
Mr. Kunal Arora
Data Analytics Trainer
ExpertisePythonSQLExcelPower BITableauMLDLNLPTime SeriesIoT DevicesPrompt EngineeringChatbots
About
5+ years in logistics and consumer-brand analytics, with a strong focus on time series, NLP and applied automation.
Live projects
Speech-to-text using core NLP (T2S), talent acquisition research, and product launch & CMS work on keventers.com using Sparktech.
Ms. Rachna Verma
Data Analytics Trainer
ExpertiseAdvanced ExcelSQLPower BITableauPythonData VisualisationStatistics
About
Trainer for the analytics and business intelligence track at Uncodemy, working with learners on Excel, SQL and BI tooling from first principles to interview-ready projects.
Live projects
Guides classroom capstones on sales and customer dashboards, KPI reporting and end-to-end data cleaning workflows.
Mr. Abhi
Data Analytics Trainer
ExpertisePythonSQLPower BIExcelTableau
About
3+ years building generative AI and machine learning systems, now Senior Gen AI Engineer at Uncodemy, with deep work in RAG, knowledge graphs, data analysis and AWS.
Live projects
NEMI, an enterprise memory system built on RAG, knowledge graphs and vector databases, plus automated web-scraping bots and generative AI chatbots and predictive analytics for startups.
Mr. Rahul
Data Analytics Trainer
ExpertiseSQLAdvanced ExcelPower BIPythonTableau
About
14+ years in banking and insurance operations at Aon Hewitt, NIIT Technologies and Coforge, now teaching Excel, SQL, Python and Power BI through real business scenarios.
Live projects
MIS reports and Excel dashboards for leadership tracking SLAs, error rates and backlog, SQL data cleaning and validation across systems, and live Power BI dashboards.
Mr. Anshul
Data Analytics Trainer
ExpertisePythonSQLExcelPower BIData Visualization
About
5+ years across roles at Concentrix, Amazon and Tech Mahindra. A certified Data Scientist who now teaches data science and analytics as Academic Faculty at Uncodemy.
Live projects
Credit risk management analytics at Tech Mahindra, business communications analytics, and chatbot solutions built with prompt engineering and machine learning.
Mr. Upendra Kumar Tiwari
Senior Data Science Trainer
ExpertiseData ScienceData AnalyticsMachine Learning
About
15+ years of industry experience building production machine learning systems for retail, telecom and consulting teams.
Live projects
Modelling security breaches in iOS apps, dormant customer prediction and factor analysis, last-mile delivery optimisation, and credit card fraud detection.
Mr. Irshad Khan
Data Analytics & AI Trainer
ExpertisePythonSQLMachine LearningTableauArtificial IntelligenceDeep LearningPower BIMLOps
About
8+ years across consulting and public-sector analytics, with deep hands-on work in AI and MLOps delivery.
Live projects
Built an OCR model, a disease-prediction model, and a fraud-control model deployed across every Indian state under the Ministry of Health & Welfare.
Dr. Vijay K. Gupta
MD & CEO
ExpertiseEdTech LeadershipEducation & TrainingResearch & Mentorship
About
Founder, MD & CEO of Uncodemy and GS Net Academy, with experience in education, technology leadership, research, mentorship and career development.
Live projects
Leads strategic direction, academic initiatives, technology-driven education programs and mentorship across Uncodemy and GS Net Academy.
Gangesh Kumar Gaunr
CEO & Founder
ExpertiseTechnology StrategyCloud & AI SolutionsEdTech Leadership
About
CEO & Founder of GvCloud Secure and Uncodemy with 14+ years of professional experience building scalable web, mobile and AI-driven solutions for clients across India, USA, UK, Canada, Australia and Singapore.
Live projects
Leads technology strategy, scalable web and mobile solutions, AI-driven products and EdTech initiatives across Uncodemy and GvCloud Secure.
Frequently Asked Questions
What is the duration of the Data Analytics course in Mangaluru?
On the coast the course runs six to seven months — more than 75 live online sessions and over 120 learning hours, offered in weekday or weekend batches that work around bank and port timings.
Can I learn data analytics without a coding background?
Coding isn't a prerequisite. Many Mangaluru learners come from commerce, nursing-administration or arts backgrounds; SQL begins with a simple SELECT, Python with variables, and Excel and SQL dominate the first two months.
What tools are covered in this course?
A dozen-odd. Banks and port firms in Mangaluru mostly expect SQL plus a dashboard tool, so you'll pair SQL, Pandas, NumPy and Python with Statistics, then present through Power BI, Tableau and Excel, while Copilot and ChatGPT speed up the routine bits.
Does the course include a Gen AI module?
Yes — Module 8 offers Mangaluru learners eight hours on Gen AI: framing data questions for an assistant, reviewing AI-written SQL and Python, using Copilot in Excel and Power BI and validating AI output.
How many projects will I complete?
Six pieces: five guided projects on retail, banking, HR, e-commerce and healthcare data, and a capstone you choose. A gold-loan, cargo or cashew-export dataset would make a strong Mangaluru capstone.
Are the classes live or pre-recorded?
All 75-plus sessions are live with a trainer; recordings follow for revision, and one syllabus covers online, classroom and hybrid learners.
What is the fee for the Data Analytics course in Mangaluru?
Everything costs ₹20,650 for coastal learners — that's the ₹17,500 fee with 18% GST on top. Nothing extra is charged for notes, project reviews, the certificate or placement help, and monthly payments can begin at ₹4,032.
Are EMI options available?
EMI plans begin at ₹4,032 monthly; tenure, amount and approval depend on the financing partner and are arranged by a counsellor.
Is there a demo class before I enrol?
A free live demo is open to Mangaluru learners — watch a trainer, ask questions and review the syllabus before paying.
Do you provide placement assistance?
We do. Expect a CV and LinkedIn rework, a portfolio critique, mock interviews with feedback and a stream of vacancies from our 850-plus recruiting partners. The bank, hospital or firm you apply to makes the final call, so nobody can promise a job.
Can a fresher get a data analyst job after this course?
Banks, NBFCs, the port ecosystem, hospitals and remote teams hire freshers who can show SQL, a BI tool and projects; indicative starting pay is ₹3–6 LPA.
What is the salary of a data analyst in Mangaluru?
Indicatively ₹3–6 LPA at entry, ₹6–10 LPA mid-level and ₹10–15 LPA senior; Mangaluru roles may pay below Bengaluru or remote positions, and no figure is guaranteed.
What job roles can I apply for after this course?
Most Mangaluru alumni begin as Data, MIS or Business Analysts and later move into BI, risk, reporting, product or operations analytics.
Who is eligible for this Data Analytics course?
Any graduate can join — no coding or analytics background needed. Batches mix students, bank and hospital staff, and career changers.
Are the salary, placement and review figures on this page guaranteed?
They're indicative figures from Uncodemy's records and public review platforms, subject to change; individual results and EMI approval vary.
Is classroom training available in Mangaluru?
Dakshina Kannada has no Uncodemy classroom; Mangaluru learners join the same batches online. The Delhi centre is in Shakarpur Extension near Nirman Vihar Metro.
Which companies hire Uncodemy learners?
Upward of 850 recruiters — upGrad, Clarivate, HSBC, Genpact and Fiserv among them. On file: Fiserv and HSBC Business Analysts, a Genpact Process Developer Analyst and a Clarivate Intellectual Property Analyst.
Student Project For Data Analytics
Real projects from past batches — open the code on GitHub, see who mentored it, then try the Mangaluru version on each card using data from Mangaluru & Dakshina Kannada.
UncodemyDATA ANALYTICSSales Analysis Dashboard
Sales data from a fictional retailer is standardised in SQL Server and presented in a Power BI report filterable by region, month and category, each view answering a defined need.
Mangaluru version: Run the same SQL Server + Power BI pipeline on port and petrochemicals sales from Mangaluru and compare months, products and outlets.
Python
Excel
Power BI
SQL
Ms. Rachna VermaData Analytics Trainer
Sagar Bajirao ShembadeData AnalystUncodemyDATA ANALYSTMusic Store Analysis
Learners design an online music store's PostgreSQL database in PgAdmin4 and query it to rank genres, identify loyal customers and gauge growth.
Mangaluru version: Model a cashew processing catalogue the same way and rank items, customers and areas of Mangaluru & Dakshina Kannada by revenue.
Power BI
DAX
CSV
GitHub
Dr. Vijay K. GuptaMD & CEO
Ankit SinghData AnalystUncodemyDATA ANALYTICSCovid 19 Pandemic Analysis
Learners take India's pandemic record as a messy real-world dataset — patching missing days in Pandas, deriving rates with NumPy and charting coastal versus inland states in Matplotlib.
Mangaluru version: Clean and chart public health or footfall data for Mangaluru & Dakshina Kannada with the same Pandas and Matplotlib workflow.
Python
Pandas
Jupyter NotebookGitHub
Mr. Upendra Kumar TiwariSenior Data Science Trainer
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Python, SQL and Power BI combine into a monthly people, revenue and branch report for an imaginary coastal cooperative bank.
Mangaluru version: Build a scorecard of banking employers around Mangaluru — size, hiring trend and pay bands — with SQL and DAX.
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Rajat KashyapData AnalystUncodemyDATA ANALYTICSIPL Analysis Dashboard
Python | Jupyter Notebook | Power BI | SQL | Mr. Upendra Kumar Tiwari – Senior Data Science Trainer | Pawan Mehra – Data Analyst
Mangaluru version: Swap IPL data for port and petrochemicals seasonality in Mangaluru and show peaks, slumps and outliers in one dashboard.
PythonJupyter NotebookPower BISQLMr. Upendra Kumar TiwariSenior Data Science Trainer
Pawan MehraData AnalystWhy Trust This Page? Discover Why Students Choose Uncodemy
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